我们与 LTX 联合创始人兼 CTO Yaron Inger 直接对话,讨论其新发布的开放权重视频与世界模型 LTX-2.5。访谈追问该模型在生成合理画面之外究竟理解了什么、物理表现是否足以支撑机器人、原生多镜头生成在剪辑间真正记住了什么、速度基准是否公平,以及创作者在可负担硬件上能期待什么。LTX 还谈到权重可免费下载时的商业模式。
AI video companies are no longer claiming they can simply generate better clips.
They are claiming their models understand the world.
So Peter and I put that claim to the test.
We sat down with Yaron Inger, Co-Founder and CTO of @ltx_io , for a direct conversation about LTX-2.5, its new open-weights video and world model.
We asked what the model actually understands beyond producing plausible frames. Whether its physics are good enough for robotics. What native multi-shot generation really remembers across cuts. Whether its speed benchmarks are fair. What creators can expect on hardware they can realistically afford. And how LTX plans to build a business when the weights are available to download.
This is not a product demo. It is a conversation about whether AI video is becoming genuine infrastructure for filmmaking, simulation, and physical AI.
Watch the full interview:
来源:@kimmonismus · x.com